+ Supplement 6 Statistical Process Control S6.35 One of Alberta Air's top competitive priorities is on-time arrivals. Quality VP Mike Hanna decided to personally monitor Alberta Air's performance. Each week for the past 30 weeks, Hanna checked a random sample of 100 flight arrivals for on-time performance. The table that follows contains the number of flights that did not meet Alberta Air's definition of "on time" Sample (week) Late Flights Sample (week) Late Flights 16 2 4 17 10 18 7 4 19 3 5 1 20 2 6 1 21 3 7 13 22 7 8 23 9 11 24 3 e 9.pdf + Sample (week) Late Flights Sample (week) Late Flights 10 0 25 2 11 3 26 12 4 27 0 2 28 1 14 2 29 3 15 8 30 4 a. Using a 95% confidence level, plot the overall percentage of late flights ( pp) and the upper and lower control limits on a control chart. b. Assume that the airline industry's upper and lower control limits for flights that are not on time are 0.1000 and 0.0400, respectively. Draw them on your control chart, c. Plot the percentage of late flights in each sample. Do all samples fall within Alberta Air's control limits? When one falls outside the control limits, what should be done? d. What can Mike Hanna report about the quality of service